Ditemukan 5 dokumen yang sesuai dengan query :: Simpan CSV
Deden Herlan Suangsa; Pembimbing: Indang Trihandini; Penguji: Artha Prabawa, Rico Kurniawan, Bahrul Anwar, Yanyan Rusyandi
Abstrak:
Pelayanan medis di rumah sakit sangat penting dalam menjamin keselamatan pasien, dan salah satunya yaitu pelayanan kefarmasian, khususnya pelayanan informasi obat (PIO). PIO berfungsi mengidentifikasi obat yang harus diwaspadai (high-alert medication) serta obat berisiko tinggi sebagai penyebab Reaksi Obat yang Tidak Diinginkan (ROTD). Saat ini, fungsi PIO dijalankan secara manual hingga memakan waktu cukup lama dan sering terjadi kesalahan manusia, berupa tidak terdeteksinya risiko reaksi obat. Penelitian ini akan membangun model sistem notifikasi interaksi obat yang bersifat otomatis bagi petugas farmasi, sehingga petugas dapat segera mengedukasi pasien atau keluarga. Penelitian dilaksanakan di RSUD R. Syamsudin, SH Kota Sukabumi. Pengumpulan data dan informasi untuk studi awal melalui Focus Group Discussion (FGD). Wawancara mendalam dengan apoteker, asisten apoteker, staf promosi kesehatan rumah sakit, dan programer rumah sakit merupakan pendalaman dari hasil Focus Group Discussion (FGD). Analisis sistem yang dilakukan berdasarkan wawancara menjadi dasar perancangan sistem dengan pendekatan pengembangan sistem yaitu menggunakan metode prototyping sampai tahap pemodelan. Cara pencarian obat di RSUD R. Syamsudin, SH masih berorientasi manual, seperti keterangan interaksi obat dengan obat lain sehingga tidak terintegrasi dalam sebuah sistem, dan edukasi yang diberikan masih sebatas edukasi penggunaan obat secara umum. Hal ini memiliki resiko keselamatan pasien terkait dengan interaksi obat. Rancangan logik sistem notifikasi interaksi obat yang berfungsi sebagai pengingat kepada petugas farmasi pada saat input resep obat memerlukan sistem yang terintegrasi, sehingga pasien tersebut akan diberikan edukasi yang lebih tepat. Sistem ini dapat memberikan kemudahan untuk mengakses informasi, efisiensi waktu, menyimpan data lebih banyak dengan ruang penyimpanan yang kecil. Secara teoritis disain dapat memberikan solusi yang efisien dan efektif dalam mengidentifikasi obat yang harus diwaspadai yang diberikan kepada pasien, dengan terintegrasi pada sistem notifikasi interaksi obat rumah sakit. Hasil penelitian dari 53 pasien lansia yang dirawat ditemukan 125 jenis obat yang digunakan selama pasien dirawat dan ditemukan sebanyak 141 interaksi dalam basis data prototipe sistem notifikasi interaksi obat dengan obat, sedangkan data yang ditemukan oleh apoteker 1 sebanyak 13 interaksi dan 34 interaksi ditemukan oleh apoteker 2. Dapat disimpulkan bahwa basis data prototipe sistem notifikasi interaksi obat dengan obat bisa menemukan interaksi obat lebih banyak dan dapat memberikan peringatan kepada apoteker lebih cepat
Patient safey is fundamental to delivering quality essensial health services in hospital, and one of them is pharmaceutical services, specifically pharmacy information services (PIO). PIO has the function of identifying drugs to watch out for (high alert drugs) as well as high-risk drugs that cause unwanted drug reactions (ROTD). The PIO function has been carried out manually so that it takes a long time and human errors often occur, in the form of undetectable risks from drug reactions. This research will build an automatic drug interaction notification system model for pharmaceutical staff, so they can immediately educate patients or families. The study was conducted at the RSUD R. Syamsudin, SH Sukabumi City. Data and information collection for the initial study through Focus Group Discussion (FGD). In-depth interviews with pharmacists, pharmacist assistants, hospital health promotion staff, and hospital programmers deepened the results of Focus Group Discussions (FGD). System analysis conducted based on interviews is the basis of system design with a system development approach using prototype methods to the modeling stage. Searching drugs information in the RSUD R. Syamsudin, SH is still oriented manually, such as information about drug interactions with other drugs. Due it is not integrated in a system, so the education provided is still limited to education on drug use in general. This has a patient safety risk associated with drug interactions. The logic design of the drug interaction notification system that serves as a reminder to pharmaceutical staff when entering prescription drugs requires an integrated system, so patients will be given more appropriate education. This system can provide easy access to information, save time, save more data with less storage space. Theoretically the design can provide efficient and effective solutions in identifying drugs that must be considered to be given to patients, by integrating them into the hospital drug interaction notification system. The results of the study of 53 treated elderly patients found that 125 types of drugs were used during the patient's treatment and 141 interactions were found in the prototype database of the drug-drug interaction notification system, while the data found by pharmacist 1 were 13 interactions and 34 interactions were found by pharmacist 2 It can be concluded that the prototype database for drug-drug interaction notification systems can find more drug interactions and can alert pharmacists more quickly
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Patient safey is fundamental to delivering quality essensial health services in hospital, and one of them is pharmaceutical services, specifically pharmacy information services (PIO). PIO has the function of identifying drugs to watch out for (high alert drugs) as well as high-risk drugs that cause unwanted drug reactions (ROTD). The PIO function has been carried out manually so that it takes a long time and human errors often occur, in the form of undetectable risks from drug reactions. This research will build an automatic drug interaction notification system model for pharmaceutical staff, so they can immediately educate patients or families. The study was conducted at the RSUD R. Syamsudin, SH Sukabumi City. Data and information collection for the initial study through Focus Group Discussion (FGD). In-depth interviews with pharmacists, pharmacist assistants, hospital health promotion staff, and hospital programmers deepened the results of Focus Group Discussions (FGD). System analysis conducted based on interviews is the basis of system design with a system development approach using prototype methods to the modeling stage. Searching drugs information in the RSUD R. Syamsudin, SH is still oriented manually, such as information about drug interactions with other drugs. Due it is not integrated in a system, so the education provided is still limited to education on drug use in general. This has a patient safety risk associated with drug interactions. The logic design of the drug interaction notification system that serves as a reminder to pharmaceutical staff when entering prescription drugs requires an integrated system, so patients will be given more appropriate education. This system can provide easy access to information, save time, save more data with less storage space. Theoretically the design can provide efficient and effective solutions in identifying drugs that must be considered to be given to patients, by integrating them into the hospital drug interaction notification system. The results of the study of 53 treated elderly patients found that 125 types of drugs were used during the patient's treatment and 141 interactions were found in the prototype database of the drug-drug interaction notification system, while the data found by pharmacist 1 were 13 interactions and 34 interactions were found by pharmacist 2 It can be concluded that the prototype database for drug-drug interaction notification systems can find more drug interactions and can alert pharmacists more quickly
T-6083
Depok : FKM-UI, 2021
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Malahayati Rusli Bintang; Promotor: Adang Bachtiar; Kopromotor: Fachmi Idris; Penguji: Kemal Nazaruddin Siregar, Mardiati Nadjib, Pujiyanto, Ali Ghufron Mukti, Rizanda Mahmud, Achmad Farich
Abstrak:
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Diabetes Melitus (DM) meningkatkan risiko terkena TB paru, terutama pada kelompok berisiko tinggi. Meskipun penemuan kasus secara aktif dan peningkatan pelaporan di fasilitas kesehatan sangat penting, namun keterlibatan sektor swasta dalam pengendalian TB masih rendah karena adanya fragmentasi dan dana yang tidak memadai. Sistem Informasi Tuberkulosis (SITB) adalah perangkat lunak utama untuk mencatat dan melaporkan kasus TB, namun aksesnya terbatas dan sistemnya tidak terintegrasi dengan baik. Untuk mengatasi tantangan ini, diperlukan e-screening tool untuk mengintegrasikan skrining TB ke dalam skrining diabetes yang ada saat ini secara efisien sehingga notifikasi TB di FKTP swasta dapat meningkat. Penelitian ini menggunakan pendekatan mixed exploratory sequential, yang menggabungkan metode kuantitatif dan kualitatif secara bertahap. Penelitian ini terdiri dari 3 tahap, yaitu tahap pertama menggunakan pendekatan kuantitatif dan tahap kedua dan ketiga menggunakan pendekatan kualitatif. Ditahap pertama, dilakukan analisis faktor determinan TB pada pasien DM menggunakan data Riskesdas 2013 dan 2018. Lalu tahap 2 dilakukan analisis/evaluasi mengenai implementasi proses notifikasi TB pada FKTP swasta dan pada tahap 3 dilakukan proses diseminasi kebijakan rancangan model skrining TB pada pasien DM dengan menggunakan pendekatan Policy Cycle. Hasil penelitian di tahap 1 menunjukkan bahwa variabel diagnosa penyakit kanker, riwayat merokok, ketersediaan rumah sakit swasta dan ketersediaan praktik dokter/klinik secara statistik memiliki hubungan yang signifikan terhadap kejadian TB pada pasien DM. lalu dari hasil uji multivariat diperoleh hasil bahwa kanker merupakan faktor prediktif pada kejadian penyakit TB paru pada penderita DM. hasil penelitian tahap 2 menunjukkan bahwa belum semua FKTP swasta memiliki SITB mandiri yang menyebabkan pencatatan dan pelaporan kasus TB menjadi temuan milik puskesmas dimana hal ini berdampak pada rendahnya notifikasi TB di FKTP swasta. Hasil penelitian tahap 3 menunjukkan bahwa untuk meningkatkan notifikasi TB di FKTP swasta dapat dilakukan dengan merancang e-screening tool TB dengan pendekatan kaskade TB 6T. Dengan mengintegrasikan JKN Mobile, E-RM, P-Care dan SITB dalam bentuk partner satu sehat, serta didukung dengan SDM, sarana prasarana dan pembiayaan yang cukup diharapkan dapat meningkatkan notifikasi TB di FKTP swasta sehingga dapat menurunkan angka kematian atau angka kesakitan akibat TB pada pasien DM.
Diabetes Mellitus (DM) increases the risk of developing pulmonary TB, especially in high-risk groups. While active case finding and improved reporting at health facilities are critical, private sector involvement in TB control remains low due to fragmentation and inadequate funding. The Tuberculosis Information System (TBIS) is the primary software for recording and reporting TB cases, but access is limited and the system is not well integrated. To overcome these challenges, an e-screening tool is necessary to efficiently integrate TB screening into existing diabetes screening so that TB notifications at private primary care facilities can increase. This study used a mixed exploratory sequential approach, which combines quantitative and qualitative methods in its stages. The study consisted of 3 stages, with the first stage using a quantitative approach and the second and third stages using a qualitative approach. In the first stage, the determinants of TB in patients with DM were analyzed using 2013 and 2018 Riskesdas data. Then in stage 2, an analysis/evaluation of the implementation of the TB notification process at private primary care facilities was carried out and in stage 3, the policy dissemination process of the TB screening model design in DM patients was carried out using the Policy Cycle approach. The results of stage 1 of the study showed that the variables of cancer diagnosis, smoking history, availability of private hospitals and availability of TB screening in DM patients were significantly associated with TB screening in DM patients. The results of the multivariate test showed that cancer was a predictive factor in the incidence of pulmonary TB disease in patients with DM. The results of phase 2 of the study showed that not all private primary health care facilities have independent SITB, which causes the recording and reporting of TB cases to be the findings of the puskesmas, thus has an impact on the low notification of TB in private primary health care facilities. The results of phase 3, showed that improving TB notification at private primary care facilities can be done by designing a TB e-screening tool with a 6T TB cascade approach. By integrating JKN Mobile, E-RM, P-care and SITB in the form of the intergrated system of Satu Sehat, and supported by sufficient human resources, infrastructure and financing, these allow room for a better national TB control management. In this light, TB notification rate has a good potential for improvements at private primary care facilities, and thus eventually contributing to a reduction of mortality or morbidity due to TB in DM patients.
D-509
Depok : FKM-UI, 2024
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Fresty Cahya Maulina; Pembimbing: Sudijanto Kamso; Penguji: Tris Eryando, Martya Rahmanianti Makful, Retno Damarwati, Widya Anggareni
T-4940
Depok : FKM-UI, 2017
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Nida Hanifah Nasir; Pembimbing: Fatma Lestari; Penguji: Dadan Erwandi, Robiana Modjo, Arief Kusuma, Devi Partina Wardani
Abstrak:
UI telah mengidentifikasi 7 potensi keadaan darurat yaitu kebakaran, pohon tumbang, darurat medis, kecelakaan lalu lintas, insiden laboratorium, gempa bumi dan tenggelam. Keadaan darurat yang tidak ditanggulangi dengan baik dapat menjadi suatu keadaan krisis dan akan menimbulkan kerugian bagi Universitas. Aplikasi mobile Panic Button UI merupakan salah satu layanan notifikasi keadaan darurat untuk menanggulangi 7 keadaan darurat tersebut. Namun pada penerapan aplikasi yang saat ini dimiliki masih memiliki beberapa keterbatasan, oleh karena itu peneliti melakukan pengembangan terhadap aplikasi tersebut. Hasil rancang ulang desain aplikasi Mobile Panic Button UI (PB 2) dapat meningkatkan 70% pemenuhan aplikasi sebelumnya (PB 1). Pemenuhan standar aplikasi tersebut meliputi informasi nama dan No HP pengguna, pilihan kategori keadaan darurat, informasi korban, informasi foto/voice, deskripsi keadaan darurat (teks), pilihan lokasi kejadian, pengiriman notifikasi keadaan darurat, pop up notifikasi terkirim, informasi keadaan darurat kepada petugas ERT. Setelah dilakukan pelatihan waktu penggunaan aplikasi Mobile Panic Button UI lebih cepat 20 detik. Pengembangan aplikasi Mobile Panic Button UI (PB 2) dapat mempercepat waktu respon dan aksi respon, meningkatkan keakuratan respon, memudahkan proses notifikasi keadaan darurat serta memudahkan komunikasi keadaan darurat
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T-5791
Depok : FKM-UI, 2019
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Diah Ayu Pertiwi; Pembimbing: Nurhayati Adnan Prihartono; Penguji: Trisari Anggondowati, Sulistyo
Abstrak:
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Latar Belakang Tuberkulosis (TBC) merupakan penyakit yang sudah lama ada dan masih menjadi salah satu penyakit menular utama di dunia. Indonesia menempati peringkat 2 hanya setelah India dengan kasus TBC terbanyak di dunia. Target global dan milestone untuk penurunan insiden dan kematian TBC telah ditetapkan sebagai bagian dari SDGs dan End TBC. Strategi TBC pada akhir tahun 2030 yaitu penurunan 90% kematian TBC dan 80% penurunan insiden TBC. Belum seluruh fasyankes melaporkan terduga dan kasus tuberkulosis ke sistem informasi nasional TBC, maka berdasarkan Strategi Nasional Penanggulangan Tuberkulosis di Indonesia 2020-2024 dan rencana interim 2025-2026 dilakukan penguatan jejaring layanan dengan melibatkan fasyankes pemerintah maupun swasta (Public-Private Mix/PPM). Jejaring Layanan TBC di Fasilitas Kesehatan Pemerintah-Swasta Berbasis Kabupaten/Kota atau District-Based Public-Private Mix (DPPM). DPPM dapat mengatasi kesenjangan dalam hal penemuan kasus TBC, kualitas pelayanan TBC maupun pelaporan kasus TBC. Metode Penelitian ini menggunakan desain studi ekologi dengan menganalisis data sekuder dari register TBC 06 dan TBC 16 Aplikasi SITB Direktorat Jenderal P2P Kemenkes RI dengan jumlah 80 kabupaten/kota yang menjadi wilayah prioritas implementasi PPM di Indonesia Tahun 2023. Data dianalisis secara univariat dan bivariat menggunakan SPSS versi 24. Hasil: Hasil analisis univariat menunjukkan bahwa wilayah implementasi PPM melaporkan notifikasi lebih besar yaitu 56% dibandingkan wilayah bukan PPM sebesar 44% dengan jumlah fasyankes dan jumlah ketersediaan alat TCM yang lebih sedikit dari wilayah bukan PPM. Hasil uji korelasi menunjukkan bahwa jumlah fasyankes (r = 0.774), ketersediaan alat TCM (r = 0.767), dan investigasi kontak (r = 0.672) berkorelasi kuat terhadap notifikasi kasus tuberkulosis pada implementasi PPM di Indonesia Tahun 2023. Kesimpulan dan Saran: Implementasi PPM di Indonesia Tahun 2023 berkontribusi besar terhadap notifikasi kasus tuberkulosis di Indonesia. Jumlah Fasyankes, ketersediaan alat TCM dan investigasi kontak berhubungan signifikan dan kuat terhadap notifikasi kasus tuberculosis. Dengan memperluas wilayah implementasi diharapkan dapat meningkatkan jumlah notifikasi kasus dengan keterlibatan sektor pemerintah dan swasta sehingga semakin memperbesar capaian pada program pengendalian tuberkulosis di Indonesia.
Background Tuberculosis (TBC) is a long-standing disease and remains one of the world's major infectious diseases. Indonesia ranks 2nd only to India with the most TBC cases in the world. Global targets and milestones for reducing TBC incidence and mortality have been set as part of the SDGs and End TBC. The TBC strategy by the end of 2030 is a 90% reduction in TBC deaths and 80% reduction in TBC incidence. Not all health facilities have reported TBC suspects and cases to the national TBC information system, so based on the National Strategy for Tuberculosis Control in Indonesia 2020-2024 and the interim plan 2025-2026, a service network was strengthened by involving public and private health facilities (Public-Private Mix/PPM). District-Based Public-Private Mix (DPPM) TBC Service Networks in Public-Private Health Facilities. DPPM can address gaps in TBC case finding, quality of TBC services and TBC case reporting. Methods This study used an ecological study design by analyzing secondary data from the TBC 06 and TBC 16 registers of the SITB Application of the Directorate General of P2P Ministry of Health, Republic of Indonesia with a total of 80 districts / cities which are priority areas for PPM implementation in Indonesia in 2023. Data were analyzed univariately and bivariately using SPSS version 24. Results: The results of univariate analysis showed that PPM implementation areas reported more notifications at 56% compared to non-PPM areas at 44% with fewer number of health facilities and availability of TCM equipment than non-PPM areas. Correlation test results showed that the number of health facilities (r = 0.774), availability of TCM equipment (r = 0.767), and contact investigation (r = 0,672) has streght corelation to the notification of tuberculosis cases in PPM implementation in Indonesia in 2023. Conclusions and Suggestions: The implementation of PPM in Indonesia in 2023 contributes significantly to the notification of tuberculosis cases in Indonesia. Total health facilities, availability of TCM tools and contact investigation have a significant and strong association with TB case notification. Expanding the implementation area is expected to increase the number of case notifications with the involvement of the government and private sectors, thus increasing the achievements of the TBC control program in Indonesia.
S-11725
Depok : FKM UI, 2024
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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